We evaluate the performance of DRW on four different tasks. Two are sequence labeling tasks, Part-Of-Speech (POS) Tagging and Named Entity Recognition (NER); the other two are from GLUE [1]} text classification tasks, SST-2 and MRPC. We choose BERT [2]} as our model backbone and fine-tune it in different tasks.
